ERDDAP > info > bcodmo_dataset_728110

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data			files	public	Table of taxonomic hierarchy and the sampling method for organisms collection in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project)		I   M	background			BCO-DMO	bcodmo_dataset_728110

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv
attribute	NC_GLOBAL	acquisition_description	String	Sampling locations were from the Aleutian Archipelago nearshore between longitude 173.9 and -167.6 in June 2016 and July 2017. The average depth 17.5 ft. To assess community structure at each site, two methods were used. First, to quantify the remainder of the epibenthic community, ten 0.25 m2 quadrats were haphazardly placed within each site. Within these quadrats, the percent bottom cover was visually estimated for bare substrate, kelp holdfasts, suspension feeders, pulvinate green algae (Codium spp.), and non-geniculate coralline algae - with differentiation made between Clathromorphum spp. and other encrusting coralline species. Following visual estimation, all epibenthic organisms\u2014excepting those strongly adhered to the substrate (e.g., barnacles, non-geniculate coralline algae, etc.)\u2014 were scraped from the substrate and placed in fine mesh collection bags for shipboard identification, and abundance and biomass determination. Second, three 10 m x 2 m swaths were placed haphazardly within each site. Within each swath, E. fistulosa stipes were counted, midwater and demersal fishes visually quantified by trained divers, and all conspicuous, sparsely distributed, large, mobile invertebrates (i.e., sea stars, crab, and large gastropods with distributions assumed to be less than 1 per 2.5 m2, the total area covered by the above quadrats) were collected in fine mesh bags for shipboard abundance and biomass determination. Once onboard, organisms were identified to the lowest possible taxa, counted (if the species occur as discrete individuals) and weighed using hanging spring scales to determine biomass to the nearest .005 kg. Ambiguous or difficult to identify individuals were preserved in 10% formalin (for invertebrates) or pressed (for algae) for later identification. Related data are presented in Konar et al (2017).
attribute	NC_GLOBAL	awards_0_award_nid	String	709510
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1435205
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435205
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_0_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50446
attribute	NC_GLOBAL	awards_1_award_nid	String	709515
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1435194
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435194
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	(BIOMASS) Community taxonomy & collection method Aleutian Island kelp forest, 2016-2017 PI's: M. Edwards (SDSU), B. Konar, J. Metzger (UAF) version: 2018-03-02
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	info at bco-dmo.org
attribute	NC_GLOBAL	creator_name	String	BCO-DMO
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	creator_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2018-02-21T14:02:12Z
attribute	NC_GLOBAL	date_modified	String	2019-12-11T17:04:41Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.728110.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/728110
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	keywords	String	array, array-data, bco, bco-dmo, biological, chemical, class, comprehensive, data, dataset, dmo, erddap, family, genus, kingdom, large, management, method, oceanography, office, order, Order_Subclass, phylum, preliminary, sampling, Sampling_method, species, stewardship, subclass, system, taxon
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/728110/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/728110
attribute	NC_GLOBAL	param_mapping	String	{'728110': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/728110/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	San Diego State University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	SDSU
attribute	NC_GLOBAL	people_0_person_name	String	Matthew Edwards
attribute	NC_GLOBAL	people_0_person_nid	String	51390
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	University of Alaska Fairbanks
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UAF
attribute	NC_GLOBAL	people_1_person_name	String	Brenda Konar
attribute	NC_GLOBAL	people_1_person_nid	String	51388
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	University of Alaska Fairbanks
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	UAF
attribute	NC_GLOBAL	people_2_person_name	String	Jacob R. Metzger
attribute	NC_GLOBAL	people_2_person_nid	String	727068
attribute	NC_GLOBAL	people_2_role	String	Contact
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	people_3_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_3_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_3_person_nid	String	50396
attribute	NC_GLOBAL	people_3_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	project	String	Kelp Forest Ecosystem Engineer Loss
attribute	NC_GLOBAL	projects_0_acronym	String	Kelp Forest Ecosystem Engineer Loss
attribute	NC_GLOBAL	projects_0_description	String	NSF abstract: In many ecosystems the presence of a single dominant species can modify the physical conditions of the environment and alter patterns of biodiversity, nutrient cycling, and primary production. Losses of these "ecosystem engineers" can have profound impacts to how ecosystems function. Coastal kelps provide excellent examples of organisms whose structure modifies the physical characteristics of their habitats (light, nutrients, water motion) and supports enhanced biodiversity. The kelp forests in the coastal waters of the Aleutian Archipelago have suffered large-scale declines over the past several decades. This project will examine how these losses impact patterns of ecosystem production and biodiversity using a combination of techniques ranging from in situ benthic chambers and shipboard incubations to remote sensing using satellite imagery. The results will provide an understanding of how such events may impact this and other ecosystems. This project will support graduate students and will introduce the public to the Aleutian ecosystems in a series of videos. The investigators will also work with a San Diego high school teacher to integrate project findings into classroom activities, and they expect to involve a teacher in their field program. The investigators will ask two highly integrated questions: 1) How do the widespread losses of kelp forests impact benthic productivity across the Aleutian Archipelago? 2) How do the widespread losses of kelp forests impact benthic biodiversity and community structure across the archipelago? To address these, the investigators will estimate changes to productivity at ten islands where they have historic data on seaweed community composition and estimates of kelp canopy cover. They will use in situ benthic chambers placed in both kelp forests and urchin barrens to measure plot-scale patterns of net ecosystem productivity (NEP), and shipboard incubations to examine net primary productivity (NPP) for the dominant macroalgae. Data for individual species rates of NPP will be scaled by their biomass and combined with in situ plot-scale benthic chamber experiments of whole communities to estimate NEP at the islands visited. These estimates will be scaled up to calculate NEP across the entire archipelago by first extrapolating results from the study sites to entire islands, and then across the archipelago. They will also estimate broad-scale patterns in production by characterizing water column irradiances across the archipelago and modeling NPP using species-level relationships between irradiance and photosynthesis. Coupling these with estimates of water column irradiance and community respiration will allow modeling of NEP across this region. Benthic biodiversity will be assessed using diver surveys and shipboard benthic trawls. Following these activities, satellite remote sensing of the kelp canopies dating back to the 1980s and the investigators' own historical data on benthic macroalgal abundances at these and other islands will be used to estimate the temporal and spatial patterns of change across the archipelago. For more information see: Project blog: http://sdsukelp.weebly.com/blog Project website: http://www.uaf.edu/cfos/research/projects/collaborative-research--/
attribute	NC_GLOBAL	projects_0_end_date	String	2018-08
attribute	NC_GLOBAL	projects_0_geolocation	String	Aleutian Islands Alaska (Attu Island to Unalaska)
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer
attribute	NC_GLOBAL	projects_0_project_nid	String	709511
attribute	NC_GLOBAL	projects_0_project_website	String	http://sdsukelp.weebly.com/blog
attribute	NC_GLOBAL	projects_0_start_date	String	2015-09
attribute	NC_GLOBAL	publisher_name	String	Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	This dataset includes the taxonomic hierarchy for epibenthic community organisms collected in Aleutian Island kelp forests, based on biomass data. It also lists the method used to sample, either by a scrape collection or by a visual count along a swath.
attribute	NC_GLOBAL	title	String	Table of taxonomic hierarchy and the sampling method for organisms collection in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Taxon		String
attribute	Taxon	bcodmo_name	String	taxon
attribute	Taxon	description	String	taxonomic name
attribute	Taxon	long_name	String	Taxon
attribute	Taxon	units	String	unitless
variable	Kingdom		String
attribute	Kingdom	bcodmo_name	String	kingdom
attribute	Kingdom	description	String	taxonomic kingdom
attribute	Kingdom	long_name	String	Kingdom
attribute	Kingdom	units	String	unitless
variable	Phylum		String
attribute	Phylum	bcodmo_name	String	phylum
attribute	Phylum	description	String	taxonomic phylum
attribute	Phylum	long_name	String	Phylum
attribute	Phylum	units	String	unitless
variable	Class		String
attribute	Class	bcodmo_name	String	class
attribute	Class	description	String	taxonomic class
attribute	Class	long_name	String	Class
attribute	Class	units	String	unitless
variable	Order_Subclass		String
attribute	Order_Subclass	bcodmo_name	String	order
attribute	Order_Subclass	description	String	taxonomic order or subclass
attribute	Order_Subclass	long_name	String	Order Subclass
attribute	Order_Subclass	units	String	unitless
variable	Family		String
attribute	Family	bcodmo_name	String	family
attribute	Family	description	String	taxonomic family
attribute	Family	long_name	String	Family
attribute	Family	units	String	unitless
variable	Genus		String
attribute	Genus	bcodmo_name	String	genus
attribute	Genus	description	String	taxonomic genus
attribute	Genus	long_name	String	Genus
attribute	Genus	units	String	unitless
variable	Species		String
attribute	Species	bcodmo_name	String	species
attribute	Species	description	String	taxonomic species
attribute	Species	long_name	String	Species
attribute	Species	units	String	unitless
variable	Sampling_method		String
attribute	Sampling_method	bcodmo_name	String	sampling_method
attribute	Sampling_method	description	String	taxonomic method
attribute	Sampling_method	long_name	String	Sampling Method
attribute	Sampling_method	units	String	unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.